Information and Analytical System Monitoring and Assessment of the Water Bodies State in the Mineral Resources Complex
Olga Afanaseva,
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Mikhail Afanasyev,
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Semyon Neyrus
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et al.
Inventions,
Journal Year:
2024,
Volume and Issue:
9(6), P. 115 - 115
Published: Nov. 12, 2024
Currently,
one
of
the
most
pressing
global
issues
is
ensuring
that
human
activities
have
access
to
water
resources
meet
essential
quality
standards.
This
challenge
addressed
by
implementing
a
series
organizational
and
technical
measures
aimed
at
preserving
ecology
basins
reducing
level
harmful
industrial
emissions
other
pollutants
in
aquatic
environment.
To
guarantee
necessary
resources,
monitoring
conducted
based
on
selected
parameters
using
various
methods
means
control.
From
these
results,
suitable
are
formulated
applied
maintain
quality.
Various
scientific
works
extensively
discuss
different
approaches
management
compliance
with
specified
requirements.
Modern
strategies
for
developing
systems
leverage
capabilities
information
collect,
process,
store,
transmit
information,
enabling
resolution
geographically
distributed
bodies
real
time.
paper
proposes
an
approach
employs
mathematical
identify
significant
factors
determining
assess
their
interrelations
priori
ranking,
multivariate
correlation
regression
analysis,
integral
quantitative
assessment.
A
hardware
software
solution
development
unified
integrated
analytical
system
proposed.
enables
continuous
assessment
set
key
parameters,
addressing
range
critical
tasks.
provides
detailed
description
product,
presents
demonstration
real-world
data,
discusses
anticipated
benefits
such
system.
Language: Английский
Predicting Water Purity by Riding the Ensemble Waves with Gradient Boosting Classification Technique
Ruchika Bhuria,
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Kanwarpartap Singh Gill,
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Deepak Upadhyay
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et al.
Published: July 10, 2024
Language: Английский
Markov Decision Process Based Energy Aware MAC Protocol for IoT WBAN Systems
IEEE Sensors Journal,
Journal Year:
2024,
Volume and Issue:
24(17), P. 27981 - 27997
Published: July 25, 2024
Internet
of
Things
(IoT)
enabled
WBAN
systems
play
a
crucial
role
in
healthcare
monitoring,
enhancing
patients'
well-being
at
an
affordable
cost.However,
their
primary
challenge
lies
energy
constraints.To
optimize
the
limited
resources
and
extend
lifetime
devices
within
network,
multi-channel
MAC
protocol
with
Markov
decision
process
(MDP-HYMAC)
is
proposed.This
improves
efficiency,
throughput,
network
lifetime,
minimizes
delays
by
using
separate
channels
for
communication
between
biomedical
access
points
(APs).In
addition,
employed
to
stochastically
model
systems'
transition
states
explore
optimal
strategies
APs.Furthermore,
adaptive
power
allocation
scheme,
time-slot
back-off
strategy
are
designed
minimize
wastage,
consumption,
delays.The
proposed
outperforms
baseline
methods
achieving
significant
improvements
efficiency
from
4%
22%.The
findings
this
research
strongly
indicate
that
has
potential
significantly
improve
performance
systems,
particularly
context
sustainable
monitoring.
Language: Английский